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NF-κB and STAT3 signaling uniquely stratifies survival in female glioblastoma patients

GSE295851 Mus musculus (mouse) RNA-seq (gene expression) 36 samples Submitted 2026/01/13 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 36 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Mus musculus (mouse)
Samples
36 samples: 10 conditions, mostly with about 4 replicates eachGroups are read from the sample names, not from the paper. Check the list below.
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Paper
NF-κB and STAT3 signaling uniquely stratify survival in female glioblastoma patientsiScience · 2026
Summary (written by the submitters)
Sex differences in glioblastoma (GBM) incidence, prognosis, and response to treatment are well established. However, the molecular mechanisms that drive these differences are less well understood. In a pan-cancer study, we previously reported that female patients exhibit a sex bias towards upregulated inflammatory signaling across many cancers.
Read the full summary ↓
Additionally, upregulated nuclear factor-kappa B (NF-κB) and signal transducer and activator of transcription 3 (STAT3) signaling in GBM is associated with poor survival. Here, we report that only female GBM patients with higher expression of NF-κB- or IL6/JAK/STAT3-related genes have poorer survival compared to females with lower expression, a pattern not seen in male patients. Interestingly this sex difference was only evident in GBM tumors with wild-type epidermal growth factor receptor (EGFR). Using a mouse GBM model, we report that female GBM cells have similar stronger signatures in NF-κB and STAT3 signaling and exhibit a more robust response to manipulation of both pathways. Furthermore, female cells exhibited a stronger relationship between STAT3 activity and its sensitivity towards STAT3 inhibition. These results demonstrate that targeting NF-κB and STAT3 signaling in a sex-informed manner in GBM patients with wild-type EGFR tumors may improve patient response to treatment. Overall, this study highlights the mechanistic and clinical importance of analyzing data that is disaggregated by sex.
Published in
NF-κB and STAT3 signaling uniquely stratify survival in female glioblastoma patients
Wong JP, Llaci L, Tripp L et al. · iScience 2026 · PMID 41716996 · doi:10.1016/j.isci.2026.114761
This dataset
Open GSE295851 in finder → Find more mouse RNA-seq datasets →
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

Series matrix ↓
2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE295851_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

Raw reads on ENA ↗

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1256485 and SRA study SRP581841. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41716996) ↗
Study design
10 conditions, mostly with about 4 replicates each
Lot 7 Nf1-/- DNp53 female transformed astrocy… ×4 Lot 7 Nf1-/- DNp53 male transformed astrocyte… ×4 Lot 8 Nf1-/- DNp53 female transformed astrocy… ×4 Lot 8 Nf1-/- DNp53 male transformed astrocyte… ×4 Lot 11 Nf1-/- DNp53 female transformed astroc… ×4 Lot 11 Nf1-/- DNp53 male transformed astrocyt… ×4 Lot 6 Nf1-/- DNp53 female transformed astrocy… ×3 Lot 6 Nf1-/- DNp53 male transformed astrocyte… ×3 +2 more

Supports a between-group comparison across 36 samples.

How we read this: 10 replicated groups read from 36 sample titles; they account for 36 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study
Datasets on a similar topic

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